판별분석을 이용한 한강권역 농업용 하천수의 수질등급모형
Water Quality Level Model Using the Discriminant Analysis for the Small Streams of Rural Area in the Han River Watersheds
3
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The main purpose of this work is the development of water quality level model using the data such as DO, EC, BOD, CODCr, NH3-N, NO3-N, PO4-P, T-N, T-P, and SS in 88 agricultural streams of the Han river watersheds. To grant water quality level for each parameters, it divided into 20% respectively in the order of water quality level. On the basis of the lowest water quality level, water quality of streams was assigned. As the result, number of stream corresponding to Level Ⅰ was 0, Level II was 1 stream, Level III was 3 streams, Level IV was 22 streams, and Level V was 62 streams. By standardized canonical discriminant function coefficient, NO3-N was the highest in 0.427 at the discriminant power. According to discriminant function for water quality level, it was equal to -4.648 + 3.246 × [NO3-N], -5.084 + 3.456 × [NO3-N], -4.298 + 3.067 × [NO3-N], and -7.369 + 4.396 × [NO3-N] from Level II to Level V, respectively. As a result of test at real data of the Han river watersheds in 2007, the suitability of water quality level model was high to 88.4%.
Abstract
The main purpose of this work is the development of water quality level model using the data such as DO, EC, BOD, CODCr, NH3-N, NO3-N, PO4-P, T-N, T-P, and SS in 88 agricultural streams of the Han river watersheds. To grant water quality level for each parameters, it divided into 20% respectively in the order of water quality level. On the basis of the lowest water quality level, water quality of streams was assigned. As the result, number of stream corresponding to Level Ⅰ was 0, Level II was 1 stream, Level III was 3 streams, Level IV was 22 streams, and Level V was 62 streams. By standardized canonical discriminant function coefficient, NO3-N was the highest in 0.427 at the discriminant power. According to discriminant function for water quality level, it was equal to -4.648 + 3.246 × [NO3-N], -5.084 + 3.456 × [NO3-N], -4.298 + 3.067 × [NO3-N], and -7.369 + 4.396 × [NO3-N] from Level II to Level V, respectively. As a result of test at real data of the Han river watersheds in 2007, the suitability of water quality level model was high to 88.4%.
참고문헌 (14)
- Liding, C., "Farm ecosystem management and control of nonpoint source pollution", Chinese J. Environ. Sci, 21, pp.98~100 (2000)
- Peterson, J. M., "Control of nonpoint source pollution through voluntary incentive-based policies: an application to nitrate contamination in New York", Agricultural and Resource Economices Review, 30(2), pp.127~138 (2001)
- Bedient, P. B., "Storm-water pollution load-runoff relationship", J. WPCF, 52(9), pp.2396~2404 (1980)
- Ra, D. G., "Effect of nonpoint source pollutants on water quality", J. of Industrial Technology Institute Sunchon National Univ, 10, pp.139~149 (1996)
- 김종구, "통계분석 기법을 이용한 錦江水系의 水質評價", 한국환경과학회지, 11(12), pp.1281~1289 (2002), 한국환경과학회
- Ryu, J. K., "A real time monitoring for water quality of river", J. KSWQ, 20(1), pp.1~11 (2004)
- Petersen, W., "Process identification by principal component analysis of river water-quality data", Ecological Modeling, 138, pp.193~213 (2001)
- Haag, I., "Processes governing river water quality identified by principal component analysis", Hydrol. Process, 16, pp.3113~3592 (2002)
- 김종구, "다변량해석기법을 이용한 인천연안해역의 수질평가", 한국환경과학회지, 15(11), pp.1017~1025 (2006), 한국환경과학회
- Kim, J. H., "Multi-variate statistical analysis for evaluation of water quality properties in Korean rural watershed", Kor. J. Environ. Agric, 26(1), pp.17~24 (2007)
- Park, S. H., "SPSS (ver. 12.0k)", pp.519~ (2005), Datasolution
- Jung, C. Y., "Statistical analysis for spsswin", pp.359~388 (1999), Muyok publishing company
- Lee, M. O., "The prediction of red tides in Jinhae bay using a discriminant function", J. Kor. Env. Sci, 7(1), pp.8~19 (1998)
- Kim, J. H., "Development and Application of water quality level model for the small streams of rural watersheds with discriminant analysis", J. KSWQ, 23(2), pp.260~265 (2007)